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How to cite: Hanganu, E., Orza, O., Bosoc, S., Bălăceanu, C., Suciu, G. (2022) Statistical Approach on Floods Features Based on Long Term Data Series Analysis. 2022 ”Air and Water – Components of the Environment” Conference Proceedings, Cluj-Napoca, Romania, p. 1-11,
DOI: 10.24193/AWC2022_01

2021 Content




Eduard HANGANU, Oana ORZA, Sabina BOSOC, Cristina BĂLĂCEANU, George SUCIU

DOI: 10.24193/AWC2022_01

ABSTRACT. – Nowadays, IoT platforms have key-roles in almost all domains such as smart agriculture, health, cyber security, etc. The focus of this article is on water quality monitoring which can be improved by the use of wireless sensing networks and the implementation of the IoT technology. The aim of the article is to develop an efficient solution for farmers who irrigate crops with large amounts of water. The solution provided is based on multiple sensors (water quality, air quality, consumption, and climate) so that several parameters of the environment can be monitored simultaneously. The monitored parameters are conductivity, turbidity, salinity, precipitation levels, pH, dissolved oxygen and water temperature. The collected data will be filtered and translated into legible and meaningful data using intelligent algorithms for farmers. This paper is based on the experiments developed in the SWAM project, and the location where they were performed was chosen in Moara Domneasca. The location of the Moara Domnească Experimental Base, where the case study is implemented, is located 25 km from Bucharest, in the Commune of Afumați, Ilfov County in the Subunit of the Romanian Plain. Thus, the quality of the water used for irrigation purposes can be determined following the analysis and periodic monitoring of the parameters

Keywords: Water and air quality, IoT, wireless sensing networks, irrigation, Romania

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